Machine Learning Engineer

Cape Town FULL TIME R41,667 - R66,667 / Month
(R500,000 - R800,000 / Year)

Job Description

As a Machine Learning Engineer, you will work on cutting-edge projects, leveraging data to build and improve our machine learning models. We are looking for an individual who is not only technically proficient but also a strong communicator who can collaborate effectively with stakeholders.

Responsibilities

  • Design and implement machine learning models and algorithms.
  • Analyze and process large datasets to derive insights.
  • Collaborate with data scientists and software engineers to integrate ML models into applications.
  • Monitor and optimize model performance post-deployment.
  • Conduct experiments and tests to validate model efficacy.
  • Maintain documentation of models and processes for auditing purposes.
  • Stay current with industry trends and advancements in machine learning.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree is preferred
Experience
  • 3+ years of experience in machine learning and data science
Technical Skills
  • Python
  • TensorFlow
  • Data Analysis
Soft Skills
  • Critical Thinking
  • Team Collaboration
Certifications
  • Certified TensorFlow Developer
  • Machine Learning Certification from Coursera
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms (e.g., AWS, GCP): Familiarity with deploying machine learning models on cloud infrastructure.
  • Knowledge of Big Data technologies (Hadoop, Spark): Understanding of Big Data frameworks for handling large datasets.

Benefits

  • Comprehensive health and wellness programs
  • Yearly performance-related bonuses
  • Support for continuous education and certification
  • Remote working opportunities
  • Fun team-building activities

Company Culture

  • Innovative Environment: Our team lives and breathes innovation, constantly pushing the boundaries of technology.
  • Supportive Team Culture: We embrace a collaborative approach, encouraging teamwork and shared successes.
  • Commitment to Diversity: We value diversity and inclusion, fostering a culture of respect and acceptance.
Status: Closed